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: -Bachelor’s degree in forestry, natural resources, spatial sciences, math, statistics, or related field of study. -Minimum of 4 years in geospatial analysis, statistical analysis, or similar, in either
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: -Bachelor’s degree in forestry, natural resources, spatial sciences, math, statistics, or related field of study. -Minimum of 4 years in geospatial analysis, statistical analysis, or similar, in either
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years or less. Desired Qualifications: Demonstrated experience with Legionella, waterborne pathogens, or environmental microbiology. Demonstrated expertise in spatial analysis, geospatial statistics
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and demographic analysis Familiarity with spatial analysis, including GIS Facility with econometric models Familiarity with health challenges of older adults and health services delivery Familiarity
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to work within the Aparicio lab ( https://aparicio.molonc.ca ). Located at the BC Cancer Research Institute, within the Department of Basic and Translational Research; Molecular Oncology, our
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, R) and geospatial tools (e.g., ArcGIS, QGIS ), spatial statistics, or cloud computing Experience working in collaborative research teams Valid driver’s license and be able to successfully pass a
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Mathjobs.org | 29 days ago
Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning methods
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Equation, Stochastic simulation algorithms, and approximation methods. ● Experience with single-cell or spatial transcriptomic data analysis. ● Familiarity with machine learning and deep learning methods
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spatial statistics. Close the experimental-computational loop, using analysis results to guide the design of the next round of automated experiments (design of experiments, active learning). Ensure
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) with state-of-the-art acoustic spatial capture-recapture (SCR) modelling. Together, these will move acoustic monitoring from species detection to within-species population inference. Required